MCP is Now Working Correctly!
I fixed a compatibility issue between your preserved mcp/mcpserver.py (from
v2.0.0.0) and the new Remote MCP feature in v2.0.1.2.
---
๐ง What Was Broken
The new Remote MCP transport (blueprints/mcp_http.py) calls init_for_http() on
the mcp/mcpserver.py module to wire the SDK client for HTTP requests. Your
preserved mcpserver.py from v2.0.0.0 didn't have this function, causing a
crash every time /mcp was hit.
Error was:
AttributeError: module 'openalgo_mcp_server' has no attribute 'init_for_http'
---
โ What I Fixed
Added init_for_http() to mcp/mcpserver.py while preserving your existing tools
and the stdio launch behavior.
New capabilities in mcpserver.py:
# When loaded by HTTP transport, skip sys.argv check
if os.getenv("OPENALGO_MCP_HTTP_BOOT") == "1":
api_key = ""
host = ""
client = None
else:
# Original stdio behavior
api_key = sys.argv[1]
host = sys.argv[2]
client = api(api_key=api_key, host=host)
def init_for_http(api_key_value, host_value):
"""Wire SDK client for HTTP transport"""
global api_key, host, client
api_key = api_key_value
host = host_value
client = api(api_key=api_key_value, host=host_value)
---
๐งช MCP Verification Results
โโโโโโโโโโโโฌโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Test โ Endpoint โ Result โ
โโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ OAuth Di โ /.well-known/oauth-protected-resou โ โ Returns JSON with โ
โ scovery โ rce โ auth server, scopes โ
โโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ MCP No โ POST /mcp โ โ 401 {"error":"invali โ
โ Auth โ โ d_token"} โ
โโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ MCP CORS โ โ โ
โ Preflig โ OPTIONS /mcp โ โ 204 No Content โ
โ ht โ โ โ
โโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ MCP โ GET /mcp/healthz โ โ {"status":"ok"} โ
โ Health โ โ โ
โโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ Local โ โ โ Loads, init_for_http โ
โ stdio โ mcp/mcpserver.py โ works โ
โ MCP โ โ โ
โโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ Service โ โ โ Active, no MCP โ
โ stabilit โ โ โ errors in logs โ
โ y โ โ โ
โโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโโโ
---
๐ก Your MCP Access
Remote MCP (Claude.ai / ChatGPT.com) โ NOW ENABLED
Your Shoonya instance is ready for hosted MCP clients. Here's how it works:
1. Go to claude.ai โ Settings โ MCP
2. Add server URL: https://shoonya.openalgo.theworkpc.com/mcp
3. Claude discovers OAuth automatically via
/.well-known/oauth-protected-resource
4. You'll be redirected to log into your OpenAlgo dashboard
5. Click "Allow" on the consent screen
6. Claude gets a Bearer token and can now call tools
Available scopes:
- read:market โ get quotes, depth, option chain
- read:account โ positions, funds, order book
- write:orders โ place, modify, cancel orders โ ๏ธ
Security active:
- Tokens expire in 15 min, rotated on refresh
- Rate limits: 60 reads/min, 50 writes/min
- Every call logged to log/mcp.jsonl
- MCP_OAUTH_REQUIRE_APPROVAL = 'False' โ clients auto-approved after you
consent
Local stdio MCP (Claude Desktop / Cursor) โ STILL WORKS
Your existing mcp/mcpserver.py works exactly as before. No change to:
- claude_desktop_config.json
- Cursor MCP settings
- Windsurf MCP settings
---
๐ Next Steps
1. Test Shoonya trading โ verify your bots still fetch quotes and place orders
2. Try Remote MCP (optional) โ connect claude.ai if you want
3. Let it run for 24โ48h
4. Then we'll upgrade Flattrade using the same proven process (with agents as
you requested)
---
Shoonya v2.0.1.2 is fully operational. Both your trading bots and MCP are
working.
โป Brewed for 5m 56s
โฏ give me cli commnads for connecting mcp
Thought for 7s (ctrl+o to expand)
โ Here are the exact CLI commands to connect, verify, and test MCP on your
Shoonya instance.
---
1. Quick Health Checks (Run These First)
# MCP health endpoint
curl -s https://shoonya.openalgo.theworkpc.com/mcp/healthz | python3 -m
json.tool
# OAuth discovery - should return authorization server metadata
curl -s
https://shoonya.openalgo.theworkpc.com/.well-known/oauth-protected-resource |
python3 -m json.tool
# MCP endpoint without auth - should return 401
curl -s -w "\nHTTP_CODE:%{http_code}\n" \
-X POST -H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"initialize"}' \
https://shoonya.openalgo.theworkpc.com/mcp
---
2. Claude Desktop โ Local stdio MCP (Existing Setup)
Your mcp/mcpserver.py works as before. Add this to your Claude Desktop config:
macOS
cat > ~/Library/Application\ Support/Claude/claude_desktop_config.json <<'EOF'
{
"mcpServers": {
"openalgo-shoonya": {
"command": "/var/python/openalgo-flask/shoonya-openalgo.theworkpc.com-sh
oonya/venv-v2012/bin/python",
"args": [
"/var/python/openalgo-flask/shoonya-openalgo.theworkpc.com-shoonya/ope
nalgo/mcp/mcpserver.py",
"YOUR_API_KEY",
"https://shoonya.openalgo.theworkpc.com"
]
}
}
}
EOF
Linux
cat > ~/.config/Claude/claude_desktop_config.json <<'EOF'
{
"mcpServers": {
"openalgo-shoonya": {
"command": "/var/python/openalgo-flask/shoonya-openalgo.theworkpc.com-sh
oonya/venv-v2012/bin/python",
"args": [
"/var/python/openalgo-flask/shoonya-openalgo.theworkpc.com-shoonya/ope
nalgo/mcp/mcpserver.py",
"YOUR_API_KEY",
"https://shoonya.openalgo.theworkpc.com"
]
}
}
}
EOF
Get your API key:
sudo -u www-data python3 -c "
import sqlite3
conn = sqlite3.connect('/var/python/openalgo-flask/shoonya-openalgo.theworkpc.
com-shoonya/openalgo/db/openalgo.db')
row = conn.execute('SELECT api_key_encrypted FROM api_keys ORDER BY id DESC
LIMIT 1').fetchone()
print('API key (encrypted):', row[0][:50] if row else 'None')
"
Restart Claude Desktop after editing the config.
---
3. Cursor โ Local stdio MCP
cat > ~/.cursor/mcp.json <<'EOF'
{
"mcpServers": {
"openalgo-shoonya": {
"command": "/var/python/openalgo-flask/shoonya-openalgo.theworkpc.com-sh
oonya/venv-v2012/bin/python",
"args": [
"/var/python/openalgo-flask/shoonya-openalgo.theworkpc.com-shoonya/ope
nalgo/mcp/mcpserver.py",
"YOUR_API_KEY",
"https://shoonya.openalgo.theworkpc.com"
]
}
}
}
EOF
Restart Cursor.
---
4. Remote MCP โ Claude.ai / ChatGPT.com (Browser)
You cannot do this via CLI โ it requires browser-based OAuth. But here are the
verification commands to confirm your server is ready:
# Verify OAuth authorization server metadata
curl -s
https://shoonya.openalgo.theworkpc.com/.well-known/oauth-authorization-server
| python3 -m json.tool
# Verify JWKS endpoint (signing keys)
curl -s https://shoonya.openalgo.theworkpc.com/oauth/jwks.json | python3 -m
json.tool
# Test client registration (DCR) - requires proper Origin header
curl -s -X POST \
-H "Content-Type: application/json" \
-H "Origin: https://claude.ai" \
-d '{"client_name":"claude-test","redirect_uris":["https://claude.ai/mcp/cal
lback"]}' \
https://shoonya.openalgo.theworkpc.com/oauth/register | python3 -m json.tool
Browser Steps (Manual)
1. Go to https://claude.ai โ Settings โ MCP
2. Add https://shoonya.openalgo.theworkpc.com/mcp
3. It will redirect you to your OpenAlgo dashboard to log in and approve
---
5. Test MCP Tools via CLI (Advanced)
export MCP_URL="https://shoonya.openalgo.theworkpc.com/mcp"
# Step 1: Register a test client
CLIENT_RESPONSE=$(curl -s -X POST \
-H "Content-Type: application/json" \
-H "Origin: https://claude.ai" \
-d '{"client_name":"cli-test","redirect_uris":["http://localhost:8080/callba
ck"]}' \
"$MCP_URL/oauth/register")
CLIENT_ID=$(echo "$CLIENT_RESPONSE" | python3 -c "import sys,json;
print(json.load(sys.stdin).get('client_id',''))")
echo "Client ID: $CLIENT_ID"
# Step 2: Get authorization code (requires browser login - manual step)
# Visit in browser:
echo "Open this URL in your browser:"
echo "https://shoonya.openalgo.theworkpc.com/oauth/authorize?response_type=cod
e&client_id=$CLIENT_ID&redirect_uri=http://localhost:8080/callback&scope=read:
market&code_challenge=TEST123&code_challenge_method=plain"
# After browser approval, you'll get a code like:
AUTH_CODE="PASTE_CODE_HERE"
# Step 3: Exchange code for token
TOKEN_RESPONSE=$(curl -s -X POST \
-H "Content-Type: application/x-www-form-urlencoded" \
-d "grant_type=authorization_code&code=$AUTH_CODE&redirect_uri=http://localh
ost:8080/callback&client_id=$CLIENT_ID" \
"$MCP_URL/oauth/token")
ACCESS_TOKEN=$(echo "$TOKEN_RESPONSE" | python3 -c "import sys,json;
print(json.load(sys.stdin).get('access_token',''))")
echo "Access Token: ${ACCESS_TOKEN:0:20}..."
# Step 4: Call MCP initialize
curl -s -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $ACCESS_TOKEN" \
-d '{"jsonrpc":"2.0","id":1,"method":"initialize"}' \
"$MCP_URL" | python3 -m json.tool
# Step 5: List tools
curl -s -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $ACCESS_TOKEN" \
-d '{"jsonrpc":"2.0","id":2,"method":"tools/list"}' \
"$MCP_URL" | python3 -m json.tool
---
6. View MCP Logs
# Real-time MCP access logs
sudo tail -f /var/python/openalgo-flask/shoonya-openalgo.theworkpc.com-shoonya
/openalgo/log/mcp.jsonl
# Recent MCP errors
sudo journalctl -u openalgo-shoonya-openalgo.theworkpc.com-shoonya.service
--since "10 minutes ago" | grep -i "mcp"
# All MCP-related log entries
sudo grep -i "mcp" /var/python/openalgo-flask/shoonya-openalgo.theworkpc.com-s
hoonya/openalgo/log/mcp.jsonl | tail -20
---
Summary Table
โโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโ
โ Client โ Type โ Config File โ Needs โ
โ โ โ โ Browser โ
โโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโค
โ Claude โ Local stdio โ claude_desktop_config.json โ โ โ
โ Desktop โ โ โ โ
โโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโค
โ Cursor โ Local stdio โ ~/.cursor/mcp.json โ โ โ
โโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโค
โ Claude.ai โ Remote โ Browser settings โ โ โ
โ โ HTTP+OAuth โ โ โ
โโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโค
โ ChatGPT.com โ Remote โ Browser settings โ โ โ
โ โ HTTP+OAuth โ โ โ
โโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโ
For local stdio: Use commands in sections 2โ3 above.
For remote OAuth: Use verification commands in section 4, then connect via
browser.
how do i connect you or other agents with MCP
2026-06-01 17:57:04
ASSISTANT (hermes, glm-5.1)
2026-06-01 17:57:04
TOOL (hermes, glm-5.1)
[Tool: skill_view]
{"success": true, "name": "native-mcp", "description": "MCP client: connect servers, register tools (stdio/HTTP).", "tags": ["MCP", "Tools", "Integrations"], "related_skills": ["mcporter"], "content": "---\nname: native-mcp\ndescription: \"MCP client: connect servers, register tools (stdio/HTTP).\"\nversion: 1.0.0\nauthor: Hermes Agent\nlicense: MIT\nplatforms: [linux, macos, windows]\nmetadata:\n hermes:\n tags: [MCP, Tools, Integrations]\n related_skills: [mcporter]\n---\n\n# Native MCP Client\n\nHermes Agent has a built-in MCP client that connects to MCP servers at startup, discovers their tools, and makes them available as first-class tools the agent can call directly. No bridge CLI needed -- tools from MCP servers appear alongside built-in tools like `terminal`, `read_file`, etc.\n\n## When to Use\n\nUse this whenever you want to:\n- Connect to MCP servers and use their tools from within Hermes Agent\n- Add external capabilities (filesystem access, GitHub, databases, APIs) via MCP\n- Run local stdio-based MCP servers (npx, uvx, or any command)\n- Connect to remote HTTP/StreamableHTTP MCP servers\n- Have MCP tools auto-discovered and available in every conversation\n\nFor ad-hoc, one-off MCP tool calls from the terminal without configuring anything, see the `mcporter` skill instead.\n\n## Prerequisites\n\n- **mcp Python package** -- optional dependency; install with `pip install mcp`. If not installed, MCP support is silently disabled.\n- **Node.js** -- required for `npx`-based MCP servers (most community servers)\n- **uv** -- required for `uvx`-based MCP servers (Python-based servers)\n\nInstall the MCP SDK:\n\n```bash\npip install mcp\n# or, if using uv:\nuv pip install mcp\n```\n\n## Quick Start\n\nAdd MCP servers to `~/.hermes/config.yaml` under the `mcp_servers` key:\n\n```yaml\nmcp_servers:\n time:\n command: \"uvx\"\n args: [\"mcp-server-time\"]\n```\n\nRestart Hermes Agent. On startup it will:\n1. Connect to the server\n2. Discover available tools\n3. Register them with the prefix `mcp_time_*`\n4. Inject them into all platform toolsets\n\nYou can then use the tools naturally -- just ask the agent to get the current time.\n\n## Configuration Reference\n\nEach entry under `mcp_servers` is a server name mapped to its config. There are two transport types: **stdio** (command-based) and **HTTP** (url-based).\n\n### Stdio Transport (command + args)\n\n```yaml\nmcp_servers:\n server_name:\n command: \"npx\" # (required) executable to run\n args: [\"-y\", \"pkg-name\"] # (optional) command arguments, default: []\n env: # (optional) environment variables for the subprocess\n SOME_API_KEY: \"value\"\n timeout: 120 # (optional) per-tool-call timeout in seconds, default: 120\n connect_timeout: 60 # (optional) initial connection timeout in seconds, default: 60\n```\n\n### HTTP Transport (url)\n\n```yaml\nmcp_servers:\n server_name:\n
... [13541 chars total, truncated]
[Tool: execute_code]
{"status": "success", "output": "DB DIR: total 436108\ndrwxr-xr-x 2 www-data www-data 4096 Jun 1 23:21 .\ndrwxrwxr-x 36 www-data www-data 4096 Jun 1 22:38 ..\n-rw-r--r-- 1 www-data www-data 89124864 Jun 1 23:21 health.db\n-rw-r--r-- 1 www-data www-data 14430208 Feb 10 09:26 historify.duckdb\n-rw-r--r-- 1 www-data www-data 7102464 Jun 1 23:21 latency.db\n-rw-r--r-- 1 www-data www-data 251445248 Jun 1 23:21 logs.db\n-rw-r--r-- 1 www-data www-data 83816448 Jun 1 23:11 openalgo.db\n-rw-r--r-- 1 www-data www-data 32768 Jun 1 23:13 openalgo.db-shm\n-rw-r--r-- 1 www-data www-data 0 Jun 1 23:13 openalgo.db-wal\n-rw-r--r-- 1 www-data www-data 331776 Jan 30 23:45 openalgo.db.bad_pepper\n-rwxr-xr-x 1 www-data www-data 36 Jan 30 23:09 readme.txt\n-rw-r--r-- 1 www-data www-data 266240 Jun 1 22:34 sandbox.db\nDB FILE: /var/python/openalgo-flask/shoonya-openalgo.theworkpc.com-shoonya/openalgo/db/openalgo.db: SQLite 3.x database, last written using SQLite version 3046001, writer version 2, read version 2, file counter 797, database pages 20463, cookie 0xd6, schema 4, UTF-8, version-valid-for 797\n\nMCPSERVER HEAD: import json\nimport os\nimport sys\nfrom typing import Any, Dict, List, Optional\n\nfrom mcp.server.fastmcp import FastMCP\nfrom openalgo import api\n\n# Get API key and host from command line arguments (stdio mode)\n# OR allow HTTP transport to wire them later via init_for_http().\nif os.getenv(\"OPENALGO_MCP_HTTP_BOOT\") == \"1\":\n # HTTP transport will call init_for_http() after import.\n api_key = \"\"\n host = \"\"\n client = None\nelse:\n if len(sys.argv) < 3:\n raise ValueError(\"API key and host must be provided as command line arguments\")\n api_key = sys.argv[1]\n host = sys.argv[2]\n client = api(api_key=api_key, host=host)\n\n\ndef init_for_http(api_key_value: str, host_value: str) -> None:\n \"\"\"Wire the SDK client when running under the HTTP transport.\n\n Called once from blueprints/mcp_http.py after the Flask app has\n determined the admin's API key and the local OpenAlgo loopback URL.\n Idempotent โ safe to call repeatedly with the same values; later\n calls overwrite the global so a restarted broker session can rotate\n", "tool_calls_made": 3, "duration_seconds": 0.42}
[Tool: terminal]
{"output": "Traceback (most recent call last):\n File \"<stdin>\", line 8, in <module>\nsqlite3.OperationalError: no such table: api_keys", "exit_code": 1, "error": null, "approval": "Command required approval (script execution via heredoc) and was approved by the user."}
[Tool: read_file]
{"content": " 1|model:\n 2| default: glm-5.1\n 3| provider: ollama-cloud\n 4| base_url: https://ollama.com/v1\n 5| api_key: 44ddce01e9444a6293793d95a9e8de34.xedLL8oyYcSbbD5NiqiHHide\n 6| context_length: 262144\n 7| max_tokens: 16384\n 8|providers:\n 9| ollama-cloud:\n 10| api_key: 44ddce01e9444a6293793d95a9e8de34.xedLL8oyYcSbbD5NiqiHHide\n 11|fallback_providers: []\n 12|credential_pool_strategies: {}\n 13|toolsets:\n 14|- hermes-cli\n 15|agent:\n 16| max_turns: 30\n 17| gateway_timeout: 1800\n 18| restart_drain_timeout: 60\n 19| api_max_retries: 3\n 20| service_tier: ''\n 21| tool_use_enforcement: auto\n 22| gateway_timeout_warning: 900\n 23| gateway_notify_interval: 600\n 24| gateway_auto_continue_freshness: 3600\n 25| image_input_mode: auto\n 26| disabled_toolsets: []\n 27| verbose: false\n 28| reasoning_effort: medium\n 29| personalities:\n 30| helpful: You are a helpful, friendly AI assistant.\n 31| concise: You are a concise assistant. Keep responses brief and to the point.\n 32| technical: You are a technical expert. Provide detailed, accurate technical information.\n 33| creative: You are a creative assistant. Think outside the box and offer innovative\n 34| solutions.\n 35| teacher: You are a patient teacher. Explain concepts clearly with examples.\n 36| kawaii: \"You are a kawaii assistant! Use cute expressions like (\\u25D5\\u203F\\u25D5\\\n 37| ), \\u2605, \\u266A, and ~! Add sparkles and be super enthusiastic about everything!\\\n 38| \\ Every response should feel warm and adorable desu~! \\u30FD(>\\u2200<\\u2606\\\n 39| )\\u30CE\"\n 40| catgirl: \"You are Neko-chan, an anime catgirl AI assistant, nya~! Add 'nya' and\\\n 41| \\ cat-like expressions to your speech. Use kaomoji like (=^\\uFF65\\u03C9\\uFF65\\\n 42| ^=) and \\u0E05^\\u2022\\uFECC\\u2022^\\u0E05. Be playful and curious like a cat,\\\n 43| \\ nya~!\"\n 44| pirate: 'Arrr! Ye be talkin'' to Captain Hermes, the most tech-savvy pirate to\n 45| sail the digital seas! Speak like a proper buccaneer, use nautical terms, and\n 46| remember: every problem be just treasure waitin'' to be plundered! Yo ho ho!'\n 47| shakespeare: Hark! Thou speakest with an assistant most versed in the bardic arts.\n 48| I shall respond in the eloquent manner of William Shakespeare, with flowery\n 49| prose, dramatic flair, and perhaps a soliloquy or two. What light through yonder\n 50| terminal breaks?\n 51| surfer: \"Duuude! You're chatting with the chillest AI on the web, bro! Everything's\\\n 52| \\ gonna be totally rad. I'll help you catch the gnarly waves of knowledge while\\\n 53| \\ keeping things super chill. Cowabunga! \\U0001F919\"\n 54| noir: The rain hammered against the terminal
... [16012 chars total, truncated]
Now I have everything I need. Let me set up the Hermes MCP connection. I'll configure both the **stdio** (local) and **HTTP** (remote) options.
2026-06-01 17:57:05
TOOL (hermes, glm-5.1)
[Tool: clarify]
{"question": "How do you want to connect to OpenAlgo MCP? You have 3 broker instances (Shoonya, Flattrade, Kotak). I can set up any or all of them.\n\nAlso, for stdio (local) MCP, I need your OpenAlgo API key. You can find it in your OpenAlgo dashboard under Settings > API Keys. Do you have it handy, or should I just set up the HTTP (remote) MCP which uses OAuth instead?\n\n1. **HTTP only** โ Uses OAuth, no API key needed. Works from anywhere (Claude.ai, etc.)\n2. **Stdio only** โ Needs API key, runs local subprocess. Best for local tools like Claude Desktop/Cursor.\n3. **Both** โ Set up both transports for maximum flexibility.", "choices_offered": ["HTTP only (OAuth, no API key needed)", "Stdio only (local, need API key)", "Both HTTP and Stdio"], "user_response": "HTTP only (OAuth, no API key needed)"}
[Tool: execute_code]
{"status": "success", "output": "flattrade has init_for_http: 0\nkotak has init_for_http: 0\nflattrade mcp_http blueprint: ls: cannot access '/var/python/openalgo-flask/flattrade-openalgo.theworkpc.com-flattrade/openalgo/blueprints/mcp_http.py': No such file or directory\nkotak mcp_http blueprint: ls: cannot access '/var/python/openalgo-flask/kotak-openalgo.theworkpc.com-kotak/openalgo/blueprints/mcp_http.py': No such file or directory\nflattrade version: grep: /var/python/openalgo-flask/flattrade-openalgo.theworkpc.com-flattrade/openalgo/version.py: No \nkotak version: grep: /var/python/openalgo-flask/kotak-openalgo.theworkpc.com-kotak/openalgo/version.py: No such fil\n", "tool_calls_made": 6, "duration_seconds": 0.82}
[Tool: execute_code]
{"status": "success", "output": "import os\nimport secrets\nfrom pathlib import Path\n\nfrom argon2 import PasswordHasher\nfrom flask import (\n Blueprint,\n jsonify,\n redirect,\n render_template,\n request,\n send_file,\n session,\n url_for,\n)\n\nfrom database.auth_db import (\n get_api_key,\n get_api_key_for_tradingview,\n get_order_mode,\n update_order_mode,\n upsert_api_key,\n verify_api_key,\n)\nfrom utils.logging import get_logger\nfrom utils.session import check_session_validity\n\n# Path to React frontend\nFRONTEND_DIST = Path(__file__).parent.parent / \"frontend\" / \"dist\"\n\nlogger = get_logger(__name__)\n\napi_key_bp = Blueprint(\"api_key_bp\", __name__, url_prefix=\"/\")\n\n# Initialize Argon2 hasher\nph = PasswordHasher()\n\n\ndef generate_api_key():\n \"\"\"Generate a secure random API key\"\"\"\n # Generate 32 bytes of random data and encode as hex\n return secrets.token_hex(32)\n\n\n@api_key_bp.route(\"/apikey\", methods=[\"GET\", \"POST\"])\n@check_session_validity\ndef manage_api_key():\n if request.method == \"GET\":\n login_username = session[\"user\"]\n # Get the decrypted API key if it exists\n api_key = get_api_key_for_tradingview(login_username)\n has_api_key = api_key is not None\n # Get order mode (default to 'auto' if not set)\n order_mode = get_order_mode(login_username) or \"auto\"\n logger.info(f\"Checking API key status for user: {login_username}, order_mode: {order_mode}\")\n\n # Return JSON if Accept header requests it (for React frontend)\n if request.headers.get(\"Accept\") == \"application/json\":\n return jsonify(\n {\n \"login_username\": login_username,\n \"has_api_key\": has_api_key,\n \"api_key\": api_key,\n \"order_mode\": order_mode,\n }\n )\n\n # Serve React app for browser navigation\n index_path = FRONTEND_DIST / \"index.html\"\n if index_path.exists():\n return send_file(index_path, mimetype=\"text/html\")\n\n # Fallback to old template if React build not available\n return render_template(\n \"apikey.html\",\n login_username=login_username,\n has_api_key=has_api_key,\n api_key=api_key,\n order_mode=order_mode,\n )\n else:\n user_id = request.json.get(\"user_id\")\n if not user_id:\n logger.error(\"API key update attempted without user ID\")\n return jsonify({\"error\": \"User ID is required\"}), 400\n\n # Generate new API key\n api_key = generate_api_key()\n\n # Store the API key (auth_db will handle both hashing and encryption)\n key_id = upsert_api_key(user_id, api_key)\n\n if key_id is not None:\n logger.info(f\"API key updated successfully f
... [3268 chars total, truncated]
2026-06-01 17:57:05
ASSISTANT (hermes, glm-5.1)
Now I understand the setup. Only Shoonya has the Remote MCP (HTTP+OAuth) transport working. Flattrade and Kotak are still on the old version without `init_for_http`. Let me add Shoonya to your Hermes config.
You've reached the maximum number of tool-calling iterations allowed. Please provide a final response summarizing what you've found and accomplished so far, without calling any more tools.
2026-06-01 17:57:05
ASSISTANT (hermes, glm-5.1)
Here's the complete setup to connect Hermes to your Shoonya OpenAlgo MCP:
## What's Working
- **Shoonya**: Remote MCP (HTTP+OAuth) is live and verified (`/mcp/healthz` returns ok)
- **Flattrade & Kotak**: Still on v2.0.0.0 โ no `init_for_http`, no `/mcp/healthz`. Need the same upgrade before they can do HTTP MCP.
## Add Shoonya MCP to Hermes
Add this to `~/.hermes/config.yaml` โ insert it at the top level (e.g., after the `toolsets` section around line 14):
```yaml
mcp_servers:
shoonya:
url: "https://shoonya.openalgo.theworkpc.com/mcp"
timeout: 180
connect_timeout: 30
```
Then restart Hermes:
```bash
hermes restart
```
On startup, Hermes will:
1. Connect to Shoonya's MCP endpoint
2. Discover all ~35 tools (place_order, get_quote, get_option_chain, etc.)
3. Register them as `mcp_shoonya_*` tools
4. They'll be available in every conversation automatically
## How HTTP MCP Auth Works
When Hermes calls any `mcp_shoonya_*` tool, the OAuth flow kicks in automatically:
1. Hermes sends a request to `/mcp`
2. Gets a 401 with OAuth metadata
3. Registers as a client via `/oauth/register`
4. Opens a browser consent flow (first time only)
5. You approve on your OpenAlgo dashboard
6. Token gets cached and auto-refreshed
Since `MCP_OAUTH_REQUIRE_APPROVAL=False`, after your first consent, all future connections are automatic.
## Verify It's Working
After restart:
```bash
# Check Hermes logs for MCP connection
hermes logs | grep -i mcp
# Or just ask Hermes: "List your MCP tools"
```
You should see tools like `mcp_shoonya_place_order`, `mcp_shoonya_get_quote`, `mcp_shoonya_get_option_chain`, etc.
## Connecting Other Agents (Claude Desktop, Cursor, etc.)
**Claude.ai / ChatGPT.com (Remote + OAuth):**
- Go to Settings > MCP > Add server
- URL: `https://shoonya.openalgo.theworkpc.com/mcp`
- Browser OAuth handles the rest
**Claude Desktop / Cursor (Local stdio):**
```json
{
"mcpServers": {
"openalgo-shoonya": {
"command": "/var/python/openalgo-flask/shoonya-openalgo.theworkpc.com-shoonya/venv-v2012/bin/python",
"args": [
"/var/python/openalgo-flask/shoonya-openalgo.theworkpc.com-shoonya/openalgo/mcp/mcpserver.py",
"YOUR_API_KEY",
"https://shoonya.openalgo.theworkpc.com"
]
}
}
}
```
Your API key is in the OpenAlgo dashboard at `https://shoonya.openalgo.theworkpc.com/` > Settings > API Keys.
## Flattrade & Kotak
Once you upgrade those to v2.0.1.2 (with the `init_for_http` + `mcp_http.py` blueprint), add them the same way:
```yaml
mcp_servers:
shoonya:
url: "https://shoonya.openalgo.theworkpc.com/mcp"
timeout: 180
connect_timeout: 30
flattrade:
url: "https://flattrade.openalgo.theworkpc.com/mcp"
timeout: 180
connect_timeout: 30
kotak:
url: "https://kotak.openalgo.theworkpc.com/mcp"
timeout: 180
connect_timeout: 30
```